The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-08-30"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "25222709 (up from 24996456 yesterday: 0.91 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "846395 (up from 842499 yesterday: 0.46 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 5361026

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 3.36



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 5996431 35337 0.59 951567 183066 305 0.17 3.05
Brazil 3862311 16158 0.42 826889 120828 566 0.47 3.13
India 3621245 78512 2.22 1406171 64469 971 1.53 1.78
Russia 987470 4897 0.50 101752 17045 68 0.40 1.73
Peru 639435 9474 1.50 161411 28607 136 0.48 4.47
South Africa 625056 2505 0.40 65197 14028 47 0.34 2.24
Colombia 607904 8020 1.34 220423 19363 300 1.57 3.19
Mexico 595841 4129 0.70 115563 64158 339 0.53 10.77
Spain 439286 0 0.00 124924 29011 0 0.00 6.60
Chile 409974 1965 0.48 36918 11244 63 0.56 2.74
Argentina 408426 7187 1.79 161927 8457 104 1.25 2.07
Iran 373570 1754 0.47 46858 21462 103 0.48 5.75
United Kingdom 336668 1752 0.52 24094 41586 1 0.00 12.35
France 315813 10866 3.56 80576 30611 10 0.03 9.69
Saudi Arabia 314821 910 0.29 26131 3870 30 0.78 1.23
Bangladesh 310822 1897 0.61 53222 4248 42 1.00 1.37
Pakistan 295636 264 0.09 11515 6288 4 0.06 2.13
Turkey 268546 1482 0.55 27742 6326 42 0.67 2.36
Italy 268218 1365 0.51 17652 35477 4 0.01 13.23
Germany 243305 470 0.19 26017 9300 1 0.01 3.82
Iraq 231177 3731 1.64 81062 6959 68 0.99 3.01
Philippines 217396 4265 2.00 87483 3520 101 2.95 1.62
Indonesia 172053 2858 1.69 46657 7343 82 1.13 4.27
Canada 129888 249 0.19 8521 9164 3 0.03 7.06
Ukraine 121930 2179 1.82 39163 2575 35 1.38 2.11
Qatar 118575 168 0.14 5628 197 1 0.51 0.17
Bolivia 115968 614 0.53 25969 4966 28 0.57 4.28
Israel 114020 555 0.49 31018 919 13 1.43 0.81
Ecuador 113648 742 0.66 19189 6555 18 0.28 5.77
Kazakhstan 105795 111 0.11 6353 1523 0 0.00 1.44
Egypt 98727 230 0.23 3235 5399 23 0.43 5.47
Dominican Republic 94241 509 0.54 14509 1681 8 0.48 1.78
Panama 92065 728 0.80 17573 1995 12 0.61 2.17
China 89895 32 0.04 1102 4722 1 0.02 5.25
Romania 86785 952 1.11 25017 3578 39 1.10 4.12
Oman 85544 539 0.63 3964 677 27 4.15 0.79
Belgium 85042 443 0.52 10890 9894 3 0.03 11.63
Kuwait 84636 412 0.49 12923 530 2 0.38 0.63
Sweden 83958 0 0.00 1635 5821 0 0.00 6.93
Guatemala 73912 233 0.32 17307 2740 12 0.44 3.71
Netherlands 72679 551 0.76 13319 6252 0 0.00 8.60
Belarus 71687 164 0.23 2837 676 5 0.75 0.94
United Arab Emirates 69690 362 0.52 7165 382 3 0.79 0.55
Japan 67958 605 0.90 19176 1285 14 1.10 1.89
Poland 66870 631 0.95 15079 2033 1 0.05 3.04
Morocco 61399 1343 2.24 28162 1111 33 3.06 1.81
Honduras 60174 529 0.89 12720 1858 16 0.87 3.09
Portugal 57768 320 0.56 5100 1819 1 0.06 3.15
Singapore 56771 54 0.10 1667 27 0 0.00 0.05
Nigeria 53865 138 0.26 7288 1013 2 0.20 1.88
Bahrain 51574 183 0.36 7563 189 0 0.00 0.37
Ethiopia 51122 1468 2.96 28304 793 23 2.99 1.55
Venezuela 45868 922 2.05 20063 381 6 1.60 0.83
Ghana 44205 87 0.20 3202 276 6 2.22 0.62
Algeria 44146 365 0.83 8986 1501 10 0.67 3.40
Kyrgyzstan 43820 108 0.25 3901 1058 1 0.09 2.41
Armenia 43750 124 0.28 3340 877 5 0.57 2.00
Switzerland 42014 292 0.70 5411 2005 0 0.00 4.77
Uzbekistan 41424 357 0.87 10815 313 6 1.95 0.76
Costa Rica 39699 0 0.00 16413 418 0 0.00 1.05
Nepal 38561 1221 3.27 15589 221 14 6.76 0.57
Afghanistan 38162 19 0.05 1108 1402 0 0.00 3.67
Moldova 36700 296 0.81 9040 992 2 0.20 2.70
Azerbaijan 36309 135 0.37 2741 531 2 0.38 1.46
Kenya 34057 263 0.78 7621 574 2 0.35 1.69
Serbia 31365 83 0.27 3266 711 1 0.14 2.27
Ireland 28760 40 0.14 2048 1777 0 0.00 6.18
Austria 27166 181 0.67 5133 733 0 0.00 2.70
Australia 25746 76 0.30 4349 652 41 6.71 2.53
El Salvador 25635 98 0.38 5212 713 5 0.71 2.78
Czechia 24367 273 1.13 6014 423 2 0.48 1.74
West Bank and Gaza 22204 536 2.47 7996 152 5 3.40 0.68
Korea, South 19947 248 1.26 5321 324 1 0.31 1.62
Bosnia and Herzegovina 19793 243 1.24 6106 598 4 0.67 3.02
Cameroon 19142 0 0.00 1100 411 0 0.00 2.15
Cote d’Ivoire 17948 55 0.31 1233 115 0 0.00 0.64
Denmark 17316 112 0.65 2557 624 0 0.00 3.60
Paraguay 17105 631 3.83 10198 308 14 4.76 1.80
Lebanon 16870 595 3.66 10353 160 5 3.23 0.95
Bulgaria 16190 26 0.16 2794 613 8 1.32 3.79
Madagascar 14843 52 0.35 1757 191 1 0.53 1.29
North Macedonia 14330 37 0.26 2491 600 4 0.67 4.19
Senegal 13556 100 0.74 2381 284 2 0.71 2.10
Libya 13423 465 3.59 7972 232 1 0.43 1.73
Sudan 13189 0 0.00 1233 823 0 0.00 6.24
Kosovo 12683 0 0.00 2814 488 0 0.00 3.85
Zambia 12025 123 1.03 3940 287 3 1.06 2.39
Norway 10643 32 0.30 1005 264 0 0.00 2.48
Greece 10134 157 1.57 4511 262 2 0.77 2.59
Croatia 10123 262 2.66 4519 184 1 0.55 1.82
Congo (Kinshasa) 10045 38 0.38 591 258 0 0.00 2.57

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 705951 3913 0.56 146205 12937 43 0.33 1.83 17866.65 327.42 1 in 56
Texas 629570 2819 0.45 126242 12683 76 0.60 2.01 21712.39 437.41 1 in 46
Florida 621586 2583 0.42 88780 11119 14 0.13 1.79 28940.94 517.70 1 in 35
New York 434100 698 0.16 13240 32951 13 0.04 7.59 22314.68 1693.83 1 in 45
Georgia 268973 1215 0.45 52377 5604 28 0.50 2.08 25333.17 527.81 1 in 39
Illinois 235058 1992 0.85 39678 8228 11 0.13 3.50 18549.66 649.31 1 in 54
Arizona 201661 374 0.19 14738 5030 23 0.46 2.49 26482.45 660.55 1 in 38
New Jersey 191611 291 0.15 6838 15937 4 0.03 8.32 21572.50 1794.26 1 in 46
North Carolina 166127 1051 0.64 29781 2692 9 0.34 1.62 15839.59 256.67 1 in 63
Tennessee 153115 835 0.55 30403 1747 22 1.28 1.14 22407.60 255.66 1 in 45
Louisiana 147867 1624 1.11 16468 4931 27 0.55 3.33 31807.60 1060.71 1 in 31
Pennsylvania 138134 558 0.41 14822 7658 2 0.03 5.54 10790.04 598.19 1 in 93
Massachusetts 128229 199 0.16 7189 9049 13 0.14 7.06 18451.54 1302.11 1 in 54
Alabama 125235 1346 1.09 23901 2162 10 0.46 1.73 25541.56 440.94 1 in 39
Ohio 122260 940 0.77 21412 4129 -123 -2.89 3.38 10459.32 353.24 1 in 96
Virginia 119729 935 0.79 19643 2569 1 0.04 2.15 14027.15 300.98 1 in 71
South Carolina 118324 1075 0.92 17889 2709 11 0.41 2.29 22981.27 526.15 1 in 44
Michigan 112526 1390 1.25 15800 6748 36 0.54 6.00 11267.41 675.69 1 in 89
Maryland 107791 497 0.46 12288 3752 6 0.16 3.48 17829.43 620.61 1 in 56
Indiana 93313 879 0.95 18985 3291 6 0.18 3.53 13860.66 488.84 1 in 72
Missouri 84474 1306 1.57 25091 1533 5 0.33 1.81 13763.75 249.78 1 in 73
Mississippi 82676 647 0.79 15503 2441 14 0.58 2.95 27779.52 820.19 1 in 36
Wisconsin 75337 537 0.72 14783 1122 3 0.27 1.49 12939.09 192.70 1 in 77
Minnesota 75189 932 1.26 14291 1865 2 0.11 2.48 13332.25 330.70 1 in 75
Washington 74320 441 0.60 11248 1905 0 0.00 2.56 9759.82 250.17 1 in 102
Nevada 68908 447 0.65 12678 1302 0 0.00 1.89 22371.59 422.71 1 in 45
Iowa 64599 987 1.55 15680 1113 13 1.18 1.72 20474.66 352.77 1 in 49
Arkansas 60856 478 0.79 11473 784 12 1.55 1.29 20165.52 259.79 1 in 50
Oklahoma 58119 766 1.34 14553 799 2 0.25 1.37 14687.75 201.92 1 in 68
Colorado 57203 183 0.32 6561 1942 0 0.00 3.39 9933.26 337.23 1 in 101
Connecticut 52495 0 0.00 2175 4465 0 0.00 8.51 14723.92 1252.35 1 in 68
Utah 51854 448 0.87 7727 407 0 0.00 0.78 16174.26 126.95 1 in 62
Kentucky 48031 454 0.95 13049 929 8 0.87 1.93 10750.79 207.94 1 in 93
Kansas 41761 166 0.40 11099 449 0 0.00 1.08 14334.53 154.12 1 in 70
Nebraska 34046 293 0.87 5614 392 0 0.00 1.15 17600.22 202.65 1 in 57
Puerto Rico 32848 298 0.92 10727 434 6 1.40 1.32 10285.27 135.89 1 in 97
Idaho 31858 190 0.60 7183 359 1 0.28 1.13 17777.26 200.33 1 in 56
Oregon 26554 261 0.99 5282 458 4 0.88 1.72 6295.79 108.59 1 in 159
New Mexico 25283 105 0.42 2968 770 1 0.13 3.05 12057.73 367.22 1 in 83
Rhode Island 21683 0 0.00 1945 1046 0 0.00 4.82 20468.00 987.39 1 in 49
Delaware 17343 -6 -0.03 1768 604 0 0.00 3.48 17810.27 620.27 1 in 56
District of Columbia 13959 34 0.24 1206 606 1 0.17 4.34 19778.99 858.66 1 in 51
South Dakota 13322 380 2.94 3717 167 0 0.00 1.25 15058.91 188.77 1 in 66
North Dakota 11702 218 1.90 4106 142 1 0.71 1.21 15355.71 186.34 1 in 65
West Virginia 10109 139 1.39 2414 214 -1 -0.47 2.12 5656.50 119.74 1 in 177
Hawaii 8339 200 2.46 4841 63 1 1.61 0.76 5889.66 44.50 1 in 170
Montana 7340 89 1.23 2388 104 0 0.00 1.42 6867.66 97.31 1 in 146
New Hampshire 7254 8 0.11 419 432 0 0.00 5.96 5334.96 317.71 1 in 187
Alaska 5226 44 0.85 1515 37 0 0.00 0.71 7143.78 50.58 1 in 140
Maine 4514 22 0.49 470 132 0 0.00 2.92 3358.10 98.20 1 in 298
Wyoming 3829 34 0.90 779 37 0 0.00 0.97 6615.88 63.93 1 in 151
Vermont 1616 11 0.69 157 58 0 0.00 3.59 2589.79 92.95 1 in 386

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 11231829 705951 6.29 2405710 146205 6.08 284262.1
2 Texas 4924712 629570 12.78 898848 126242 14.04 169841.8
3 Florida 4599608 621586 13.51 613945 88780 14.46 214157.0
4 New York 8196792 434100 5.30 1687148 13240 0.78 421351.8
5 Georgia 2327490 268973 11.56 492442 52377 10.64 219214.2
6 Illinois 4018484 235058 5.85 943196 39678 4.21 317119.7
7 Arizona 1199441 201661 16.81 176878 14738 8.33 157512.5
8 New Jersey 2836334 191611 6.76 534482 6838 1.28 319328.2
9 North Carolina 2243273 166127 7.41 256725 29781 11.60 213887.8
10 Tennessee 2189010 153115 6.99 475890 30403 6.39 320350.4
11 Louisiana 1868750 147867 7.91 328179 16468 5.02 401986.0
12 Pennsylvania 1649403 138134 8.37 302193 14822 4.90 128839.6
13 Massachusetts 1723774 128229 7.44 403835 7189 1.78 248042.8
14 Alabama 981062 125235 12.77 218611 23901 10.93 200086.7
15 Ohio 2196860 122260 5.57 528312 21412 4.05 187940.9
16 Virginia 1573427 119729 7.61 329169 19643 5.97 184338.8
17 South Carolina 942873 118324 12.55 156889 17889 11.40 183127.9
18 Michigan 2744794 112526 4.10 643462 15800 2.46 274840.6
19 Maryland 1319238 107791 8.17 279893 12288 4.39 218211.7
20 Indiana 1065356 93313 8.76 224231 18985 8.47 158247.4
21 Missouri 974237 84474 8.67 221497 25091 11.33 158737.0
22 Mississippi 569164 82676 14.53 75047 15503 20.66 191241.8
23 Wisconsin 1249602 75337 6.03 191025 14783 7.74 214618.5
24 Minnesota 1122071 75189 6.70 187098 14291 7.64 198961.7
25 Washington 1461354 74320 5.09 448724 11248 2.51 191907.4
26 Nevada 595685 68908 11.57 78081 12678 16.24 193394.4
27 Iowa 617095 64599 10.47 98285 15680 15.95 195588.4
28 Arkansas 712687 60856 8.54 148856 11473 7.71 236159.1
29 Oklahoma 864565 58119 6.72 170514 14553 8.53 218491.6
30 Colorado 994951 57203 5.75 409071 6561 1.60 172772.5
31 Connecticut 1127506 52495 4.66 262873 2175 0.83 316245.5
32 Utah 655507 51854 7.91 84894 7727 9.10 204465.2
33 Kentucky 816114 48031 5.89 167275 13049 7.80 182670.9
34 Kansas 403147 41761 10.36 86635 11099 12.81 138380.9
35 Nebraska 357945 34046 9.51 58271 5614 9.63 185041.1
37 Idaho 254325 31858 12.53 49494 7183 14.51 141917.3
38 Oregon 553345 26554 4.80 106308 5282 4.97 131194.8
39 New Mexico 752522 25283 3.36 132394 2968 2.24 358885.7
40 Rhode Island 504904 21683 4.29 286931 1945 0.68 476611.8
41 Delaware 234661 17343 7.39 36542 1768 4.84 240983.4
42 District of Columbia 288089 13959 4.85 70147 1206 1.72 408203.2
43 South Dakota 145651 13322 9.15 24754 3717 15.02 164640.8
44 North Dakota 199965 11702 5.85 31293 4106 13.12 262399.9
45 West Virginia 431122 10109 2.34 108050 2414 2.23 241234.8
46 Hawaii 193935 8339 4.30 51991 4841 9.31 136972.1
47 Montana 246661 7340 2.98 56715 2388 4.21 230787.9
48 New Hampshire 209295 7254 3.47 36710 419 1.14 153926.1
49 Alaska 346839 5226 1.51 68920 1515 2.20 474118.5
50 Maine 259661 4514 1.74 70675 470 0.67 193169.7
51 Wyoming 75293 3829 5.09 18618 779 4.18 130093.9
52 Vermont 133275 1616 1.21 30584 157 0.51 213585.5

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 792541 11852 1.52 573559 72.37 194056 24583 184 0.75 3.10
Andhra Pradesh 434771 10004 2.36 330526 76.02 100276 3969 85 2.19 0.91
Tamil Nadu 428041 5956 1.41 368141 86.01 52577 7323 92 1.27 1.71
Karnataka 342423 6495 1.93 249467 72.85 87235 5702 113 2.02 1.67
Uttar Pradesh 230414 4782 2.12 172140 74.71 54788 3486 63 1.84 1.51
Delhi 174748 1358 0.78 155678 89.09 14626 4444 18 0.41 2.54
West Bengal 162778 2993 1.87 134270 82.49 25280 3228 52 1.64 1.98
Bihar 136337 1324 0.98 119572 87.70 16070 694 6 0.87 0.51
Telangana 124963 0 0.00 92837 74.29 31299 827 0 0.00 0.66
Assam 109041 3266 3.09 85459 78.37 23273 306 10 3.38 0.28
Odisha 103536 2602 2.58 77286 74.65 25705 545 10 1.87 0.53
Gujarat 96435 1280 1.35 77882 80.76 15533 3020 14 0.47 3.13
Rajasthan 81693 1466 1.83 66812 81.78 13825 1056 13 1.25 1.29
Kerala 75385 1530 2.07 51538 68.37 23488 295 7 2.43 0.39
Haryana 64732 1450 2.29 52672 81.37 11371 689 7 1.03 1.06
Madhya Pradesh 63965 1532 2.45 48657 76.07 13914 1394 20 1.46 2.18
Punjab 53992 1466 2.79 37027 68.58 15512 1453 49 3.49 2.69
Jharkhand 41656 3221 8.38 27143 65.16 14096 417 7 1.71 1.00
Jammu and Kashmir 37698 535 1.44 29015 76.97 7980 703 9 1.30 1.86
Chhattisgarh 31503 1411 4.69 16989 53.93 14237 277 8 2.97 0.88
Uttarakhand 19827 592 3.08 13608 68.63 5887 269 12 4.67 1.36
Goa 17418 414 2.43 13577 77.95 3648 193 10 5.46 1.11
Puducherry 14411 284 2.01 9334 64.77 4849 228 7 3.17 1.58
Tripura 11644 0 0.00 7433 63.84 4089 103 0 0.00 0.88
Manipur 6252 140 2.29 4330 69.26 1894 28 0 0.00 0.45
Himachal Pradesh 6116 171 2.88 4473 73.14 1562 37 3 8.82 0.60
Chandigarh 4346 191 4.60 2431 55.94 1857 56 4 7.69 1.29
Arunachal Pradesh 4112 78 1.93 2885 70.16 1220 7 0 0.00 0.17
Nagaland 3950 28 0.71 3058 77.42 874 8 0 0.00 0.20
Andaman and Nicobar Islands 3132 28 0.90 2647 84.51 439 46 1 2.22 1.47
Ladakh 2681 43 1.63 1874 69.90 773 34 0 0.00 1.27
Meghalaya 2368 25 1.07 1162 49.07 1196 10 0 0.00 0.42
Dadra and Nagar Haveli and Daman and Diu 2367 31 1.33 2081 87.92 264 2 0 0.00 0.08
Sikkim 1652 25 1.54 1225 74.15 424 3 0 0.00 0.18
Mizoram 1011 0 0.00 589 58.26 422 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1586967 99940 235 0.24 6.30 194 20 6829 16863 16.87
Piemonte 585831 32844 60 0.18 5.61 85 5 1405 4146 12.62
Emilia-Romagna 893601 31805 109 0.34 3.56 99 11 2868 4459 14.02
Veneto 1547538 22864 109 0.48 1.48 52 7 2345 2120 9.27
Toscana 535080 11785 98 0.84 2.20 48 5 1503 1141 9.68
Lazio 571389 11043 156 1.43 1.93 310 7 3035 878 7.95
Liguria 236042 10907 53 0.49 4.62 32 1 509 1571 14.40
Marche 204089 7238 15 0.21 3.55 12 1 302 987 13.64
Campania 413478 6882 270 4.08 1.66 110 4 2025 445 6.47
Puglia 303046 5402 69 1.29 1.78 117 5 817 556 10.29
P.A. Trento 186481 5092 8 0.16 2.73 3 1 87 405 7.95
Sicilia 346347 4291 34 0.80 1.24 68 10 1114 286 6.67
Abruzzo 156774 3773 34 0.91 2.41 37 1 429 472 12.51
Friuli Venezia Giulia 325275 3764 16 0.43 1.16 15 1 360 348 9.25
P.A. Bolzano 137117 2932 8 0.27 2.14 8 2 190 292 9.96
Sardegna 134534 2114 22 1.05 1.57 28 3 712 134 6.34
Umbria 153666 1784 31 1.77 1.16 10 1 262 80 4.48
Calabria 154919 1477 34 2.36 0.95 17 0 232 97 6.57
Valle d’Aosta 24783 1232 2 0.16 4.97 2 0 23 146 11.85
Molise 33383 525 1 0.19 1.57 3 0 70 23 4.38
Basilicata 56001 524 1 0.19 0.94 1 1 88 28 5.34

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 62352 120 0.19 5758 3 0.05 9.23 7303.16 674.42 1 in 137
Ontario 44143 98 0.22 2856 0 0.00 6.47 3000.51 194.13 1 in 333
Alberta 13476 0 0.00 237 0 0.00 1.76 3053.60 53.70 1 in 327
British Columbia 5496 0 0.00 204 0 0.00 3.71 1075.35 39.91 1 in 930
Saskatchewan 1615 0 0.00 24 0 0.00 1.49 1366.71 20.31 1 in 732
Manitoba 1186 31 2.68 14 0 0.00 1.18 860.97 10.16 1 in 1161
Nova Scotia 1083 0 0.00 65 0 0.00 6.00 1107.98 66.50 1 in 903
Newfoundland and Labrador 269 0 0.00 3 0 0.00 1.12 515.95 5.75 1 in 1938
New Brunswick 191 0 0.00 2 0 0.00 1.05 244.87 2.56 1 in 4084
Prince Edward Island 44 0 0.00 0 0 NaN 0.00 278.20 0.00 1 in 3594
Yukon 15 0 0.00 0 0 NaN 0.00 365.16 0.00 1 in 2739
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68139 4512 6.62
Hong Kong 4801 88 1.83
Guangdong 1739 8 0.46
Zhejiang 1278 1 0.08
Henan 1276 22 1.72
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 948 13 1.37
Beijing 935 9 0.96
Jiangxi 935 1 0.11
Shanghai 903 7 0.78
Xinjiang 902 3 0.33
Shandong 831 7 0.84
Jiangsu 665 0 0.00
Sichuan 652 3 0.46
Chongqing 583 6 1.03
Fujian 382 1 0.26
Shaanxi 365 3 0.82
Hebei 362 6 1.66
Liaoning 262 2 0.76
Inner Mongolia 260 1 0.38
Guangxi 255 2 0.78
Tianjin 226 3 1.33
Shanxi 203 0 0.00
Yunnan 199 2 1.01
Hainan 171 6 3.51
Gansu 169 2 1.18
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 18326.50 559.49 1 in 55
Brazil 18453.47 577.30 1 in 54
India 2704.44 48.15 1 in 370
Russia 6833.70 117.96 1 in 146
Peru 19876.75 889.24 1 in 50
South Africa 11020.03 247.32 1 in 91
Colombia 12388.51 394.60 1 in 81
Mexico 4611.77 496.58 1 in 217
Spain 9414.62 621.75 1 in 106
Chile 22713.24 622.94 1 in 44
Argentina 9225.80 191.03 1 in 108
Iran 4602.88 264.44 1 in 217
United Kingdom 5067.25 625.92 1 in 197
France 4714.33 456.95 1 in 212
Saudi Arabia 9557.41 117.49 1 in 105
Bangladesh NA NA 1 in NA
Pakistan 1500.69 31.92 1 in 666
Turkey 3323.18 78.28 1 in 301
Italy 4434.82 586.59 1 in 225
Germany 2938.82 112.33 1 in 340

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 240749 5769 2.40
New York New York 233969 23689 10.12
Miami-Dade Florida 156559 2403 1.53
Maricopa Arizona 133641 2962 2.22
Cook Illinois 126003 5054 4.01
Harris Texas 105757 2188 2.07
Broward Florida 70950 1183 1.67
Dallas Texas 70810 947 1.34
Clark Nevada 59153 1125 1.90
Riverside California 51918 1007 1.94
Orange California 48444 979 2.02
San Bernardino California 47373 716 1.51
Bexar Texas 46401 1086 2.34
Suffolk New York 44763 2002 4.47
Nassau New York 44610 2198 4.93
Palm Beach Florida 41865 1117 2.67
Tarrant Texas 41486 552 1.33
San Diego California 38300 682 1.78
Hillsborough Florida 37013 547 1.48
Westchester New York 36949 1451 3.93
Orange Florida 35770 376 1.05
Philadelphia Pennsylvania 33607 1749 5.20
Wayne Michigan 31153 2881 9.25
Kern California 29105 286 0.98
Hidalgo Texas 27408 1162 4.24
Shelby Tennessee 26976 385 1.43
Travis Texas 26434 380 1.44
Duval Florida 26391 254 0.96
Prince George’s Maryland 26151 791 3.02
Middlesex Massachusetts 25237 2068 8.19
Mecklenburg North Carolina 25198 284 1.13
Fresno California 24821 263 1.06
Fulton Georgia 24801 515 2.08
Gwinnett Georgia 24182 333 1.38
Milwaukee Wisconsin 24040 489 2.03
Salt Lake Utah 23862 230 0.96
Davidson Tennessee 23430 258 1.10
Hennepin Minnesota 22984 879 3.82
Suffolk Massachusetts 22285 1107 4.97
Franklin Ohio 21619 562 2.60
Bergen New Jersey 21557 2032 9.43
Pima Arizona 21189 576 2.72
Cameron Texas 20853 752 3.61
El Paso Texas 20350 428 2.10
Essex New Jersey 20301 2113 10.41
Hudson New Jersey 20131 1507 7.49
Montgomery Maryland 19946 820 4.11
Pinellas Florida 19888 650 3.27
King Washington 19553 723 3.70
St. Louis Missouri 19278 729 3.78
Nueces Texas 18830 352 1.87
Fairfield Connecticut 18774 1413 7.53
Lee Florida 18634 418 2.24
Middlesex New Jersey 18432 1418 7.69
Marion Indiana 18335 748 4.08
Passaic New Jersey 18327 1245 6.79
Fairfax Virginia 18310 555 3.03
Alameda California 18040 258 1.43
Oakland Michigan 17996 1163 6.46
Essex Massachusetts 17979 1236 6.87
Sacramento California 17588 274 1.56
San Joaquin California 17493 307 1.75
Union New Jersey 17077 1350 7.91
Santa Clara California 17013 245 1.44
Cobb Georgia 16896 391 2.31
Polk Florida 16894 442 2.62
Providence Rhode Island 16668 0 0.00
DeKalb Georgia 16498 298 1.81
Jefferson Louisiana 16438 545 3.32
Out of GA Georgia 16160 126 0.78
Jefferson Alabama 15731 299 1.90
Cuyahoga Ohio 15624 574 3.67
Baltimore Maryland 15382 601 3.91
Fort Bend Texas 14933 234 1.57
Wake North Carolina 14868 199 1.34
Stanislaus California 14544 255 1.75
Lake Illinois 14522 465 3.20
DuPage Illinois 14493 533 3.68
Baltimore City Maryland 14424 463 3.21
Rockland New York 14233 674 4.74
Charleston South Carolina 14000 236 1.69
District of Columbia District of Columbia 13959 606 4.34
Tulare California 13890 232 1.67
East Baton Rouge Louisiana 13727 411 2.99
Contra Costa California 13700 173 1.26
New Haven Connecticut 13622 1109 8.14
Douglas Nebraska 13431 155 1.15
Worcester Massachusetts 13395 1055 7.88
Hartford Connecticut 13392 1426 10.65
Oklahoma Oklahoma 13357 155 1.16
Polk Iowa 13292 225 1.69
Tulsa Oklahoma 13175 132 1.00
Macomb Michigan 12755 968 7.59
Yuma Arizona 12230 321 2.62
Greenville South Carolina 12089 256 2.12
Mobile Alabama 11981 254 2.12
Jefferson Kentucky 11741 263 2.24
Collier Florida 11604 176 1.52
Orleans Louisiana 11494 577 5.02
Will Illinois 11447 359 3.14

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc